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What is Datafeed Manager?

Datafeed Manager is a free-to-use tool that allows e-commerce businesses to create and manage product feeds, enabling the dissemination of accurate and up-to-date product information across multiple marketing and shopping platforms. This platform supports an unlimited number of products and feeds, allowing both small and large retailers to manage their entire feed ecosystem without any licensing costs or usage constraints. Featuring an intuitive visual editor, the tool simplifies the mapping and transformation of product fields, creation of custom attributes, and implementation of filters. Users can import data from various formats like CSV, XML, and JSON, and export feeds to channels such as Google Shopping, Facebook, Bing, TikTok, and Pinterest. The automatic scheduling function helps keep feeds updated, while the built-in error reporting system notifies users of any issues, enhancing the efficiency of monitoring and maintenance tasks. Furthermore, Datafeed Manager supports multi-user access with customizable role-based permissions, which is particularly beneficial for teams or agencies managing product catalogs for multiple clients. This flexibility not only fosters collaboration among team members but also streamlines the workflow for handling large-scale product inventories, ultimately leading to improved operational efficiency. Additionally, the tool's comprehensive features make it an invaluable resource for any e-commerce business aiming to optimize its product feed management.

What is Amio?

Amio enables the creation of chatbots powered by artificial intelligence that can handle up to 95% of customer inquiries automatically. This innovative chatbot not only addresses after-sales queries but also aids in the purchasing process by suggesting products, leading to potential conversion rate increases of over 20% by identifying customers in need of assistance. By utilizing your product feeds, Amio keeps you updated on inventory levels, price adjustments, and new product launches. Integration into your online store is straightforward and does not require significant time investment. The process includes several key steps: first, inputting your product feeds and e-commerce information for AI training; second, customizing responses for static inquiries such as order statuses and complaints; third, linking the chatbot to your helpdesk system to facilitate connections with live agents; and finally, deploying the solution through Google Tag Manager (GTM) or JavaScript, ensuring a seamless user experience for your customers. With these capabilities, Amio significantly enhances customer interaction on your platform.

Media

No images available

Media

Integrations Supported

Bird
Facebook Messenger
IBM Watson
Quickwork
Telegram
WhatsApp
Wit.ai
Zendesk

Integrations Supported

Bird
Facebook Messenger
IBM Watson
Quickwork
Telegram
WhatsApp
Wit.ai
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Coosti

Date Founded

2025

Company Location

Denmark

Company Website

coosti.com/datafeed-manager

Company Facts

Organization Name

Amio

Date Founded

2017

Company Location

Czech Republic

Company Website

amio.io

Categories and Features

Categories and Features

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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